Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets

DOI10.1016/j.ins.2023.119945OpenAlexW4389166366MaRDI QIDQ6179979

Xianyong Zhang, Jiefang Jiang

Publication date: 18 January 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.119945

zbMATH Keywords

feature selectionuncertainty measurementself-informationneighborhood rough setsdouble-quantitative fusionthree-order approximation accuracies

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Cites Work

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• A Mathematical Theory of Communication
• Class-specific attribute reducts in rough set theory
• Neighborhood rough set based heterogeneous feature subset selection
• Pseudo-label neighborhood rough set: measures and attribute reductions
• Double-quantitative rough sets, optimal scale selection and reduction in multi-scale dominance if decision tables
• A NEW MEASURE OF RANK CORRELATION

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